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Apiiro vs Traceable AI comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Apiiro
Ranking in API Security
14th
Average Rating
8.6
Reviews Sentiment
6.4
Number of Reviews
4
Ranking in other categories
Static Application Security Testing (SAST) (23rd), Software Composition Analysis (SCA) (15th), Software Supply Chain Security (10th), Risk-Based Vulnerability Management (18th), Application Security Posture Management (ASPM) (10th)
Traceable AI
Ranking in API Security
10th
Average Rating
7.0
Reviews Sentiment
6.3
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the API Security category, the mindshare of Apiiro is 2.6%, up from 1.9% compared to the previous year. The mindshare of Traceable AI is 2.9%, down from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
API Security Mindshare Distribution
ProductMindshare (%)
Traceable AI2.9%
Apiiro2.6%
Other94.5%
API Security
 

Featured Reviews

Abimael Ferreira - PeerSpot reviewer
Security at Blaze Information Security
Centralized code analysis has improved my workflow and prioritizes critical vulnerabilities
Apiiro offers several features that I consider the best, such as the ability to have multiple developers and AppSec professionals working on the same project, and through the platform, we can see the number of vulnerabilities, generate reports, and integrate Snyk within our workflow. Before the code goes to production, Apiiro can read all that code and determine if everything is okay or if improvements are needed. The reports generated by Apiiro and its integration with Snyk contribute to my development process by giving us visibility into what is actually vulnerable, as automation like Apiiro makes it much easier to track vulnerabilities without spending too much time manually checking for issues, thus generating meaningful reports afterward. Apiiro manages permissions very effectively, which is interesting from an organizational standpoint because it allows us to separate which people can access a given project and designate project administrators who can approve or reject changes once a fix is made. I found the accuracy and reliability of Apiiro's results to be very good, as it can predict issues based on its existing data.
DipanjanDhar - PeerSpot reviewer
Software Quality Assurance Specialist at a energy/utilities company with 10,001+ employees
Improved API data protection and threat detection have reduced manual work but reporting still needs refinement
The documents for the initial setup are very limited, making us rely heavily on the vendor to install the setup, which can be costly. Each license costs a lot for our organization, and while we placed a few licenses in a confidential project, using it broadly requires more licenses, which is not financially feasible. Proper training is also crucial; we spent around two and a half years in a UAT environment to train the AI to understand our organization's policies before deploying it in production. While this approach has worked smoothly, we identified a need for better and more user-friendly reporting. If we discuss national IDs, different countries have different national ID formats. Whenever we install Traceable AI, we need to inject our own configurations for the national IDs of various countries. If they use a real-time social security number or national ID sites in the future, it would be easier for us if the process were more flexible.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Apiiro manages permissions very effectively, which is interesting from an organizational standpoint because it allows us to separate which people can access a given project and designate project administrators who can approve or reject changes once a fix is made."
"Apiiro's secrets detection feature has saved us several times, which we appreciate greatly."
"The positive impact I have seen from working with Apiiro for my company includes the metrics that we get from Apiiro, which have been extremely helpful."
"The workflow automation is likely the best aspect of the solution."
"We have seen a return on investment from Traceable AI due to improvements in accuracy and security, as it enhances our legal processes, reduces human intervention, and has shortened the time spent gathering data from three to four weeks to one to two days, which translates into direct and indirect benefits."
 

Cons

"I would like support for our self-hosted Git server, other than GitHub, just regular Git."
"The UI sometimes helps but can also be a bit confusing."
"My first feedback for Apiiro is that it is very slow, extremely slow."
"User management is a little bit clunky."
"The documents for the initial setup are very limited, making us rely heavily on the vendor to install the setup, which can be costly."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
12%
Construction Company
8%
Comms Service Provider
8%
Financial Services Firm
20%
Outsourcing Company
9%
Manufacturing Company
8%
Non Profit
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with Apiiro?
One area Apiiro could improve is reporting customization and dashboard flexibility with more advanced filtering and easier communication.
What is your primary use case for Apiiro?
Apiiro is primarily used for code scanning and integration with source code control. The main use cases include code scanning and code snippet analysis. Apiiro provides security and visibility by h...
What advice do you have for others considering Apiiro?
Based on my experience with Apiiro, I would recommend it to organizations looking to strengthen their application security processes and integrate security into their development workflows. One of ...
What needs improvement with Traceable AI?
Traceable AI can be improved on various platforms. It is a strong API security platform but there are areas for improvement such as AI explanations for why a request was flagged, more out-of-the-bo...
What is your primary use case for Traceable AI?
Traceable AI is implemented for integration and API security where we can use various benefits. We are building .NET microservices exposing REST APIs to web and mobile clients. As the number of API...
What advice do you have for others considering Traceable AI?
Traceable AI supports enterprise workloads and can scale to large API ecosystems. However, achieving that scale required proper infrastructure planning, policy management, and ongoing tuning. It is...
 

Comparisons

 

Also Known As

Apiiro Control Plane (ASOC), Apiiro API Security (SAST), Apiiro Open Source (SCA)
No data available
 

Overview

 

Sample Customers

Morgan Stanley, Rakuten, Jack Henry, SoFi, Colgate, Navan
Bullish, Bluevolt, Canon, Ethos, FalconX, Houzwer, Jobvite, Outreach 
Find out what your peers are saying about Imperva, Akamai, Salt Security and others in API Security. Updated: October 2026.
920,769 professionals have used our research since 2012.